Individual finger movement decoding using a novel ultra-high-density electroencephalography-based brain-computer interface system.

Lee HS, Schreiner L, Jo SH, Sieghartsleitner S, Jordan M, Pretl H, Guger C, Park HS

DOI: 10.3389/fnins.2022.1009878
Published: 2022
Container: Frontiers in neuroscience
Publisher: Not recorded
Open access: yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

cautionDOI registered: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
cautionDOI resolves: No matching Crossref record was present in this response. Source: Crossref; license: CC0 metadata
not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility. Source: DOAJ; license: CC0
not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredROR affiliation: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete. Source: Retraction Watch; license: CC BY 4.0
supportingOpen access status: Normalized open-access status: open. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
not scoredPublication license: Not checked or no result supplied; no credibility inference made. Source: No authority result supplied; license: Unknown
not scoredPublication version: A publication version was supplied but is not scored. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer
cautionMetadata completeness: 5 of 6 scored descriptive metadata groups are present; missing fields increase uncertainty. Source: Normalized work metadata; license: Caller-provided; provenance license not supplied to scorer

Cite this work

BibTeX

@article{allodium:10.3389/fnins.2022.1009878,
  title = {Individual finger movement decoding using a novel ultra-high-density electroencephalography-based brain-computer interface system.},
  author = {Lee HS and Schreiner L and Jo SH and Sieghartsleitner S and Jordan M and Pretl H and Guger C and Park HS},
  year = {2022},
  journal = {Frontiers in neuroscience},
  doi = {10.3389/fnins.2022.1009878},
  url = {https://doi.org/10.3389/fnins.2022.1009878}
}

RIS

TY  - JOUR
TI  - Individual finger movement decoding using a novel ultra-high-density electroencephalography-based brain-computer interface system.
AU  - Lee HS
AU  - Schreiner L
AU  - Jo SH
AU  - Sieghartsleitner S
AU  - Jordan M
AU  - Pretl H
AU  - Guger C
AU  - Park HS
PY  - 2022
JO  - Frontiers in neuroscience
DO  - 10.3389/fnins.2022.1009878
UR  - https://doi.org/10.3389/fnins.2022.1009878
ER  -

APA

HS, L., L, S., SH, J., S, S., M, J., H, P., C, G., & HS, P. (2022). Individual finger movement decoding using a novel ultra-high-density electroencephalography-based brain-computer interface system.. Frontiers in neuroscience. https://doi.org/10.3389/fnins.2022.1009878

Source records

pubmed · retrieved 2026-09-26T06:08:21.536Z